research-article

A perceptual control space for garment simulation

Authors:

Elizabeth Carter,

Timothy Richards,

Jessica HodginsAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 34, Issue 4

Article No.: 117, Pages 1 - 10

https://doi.org/10.1145/2766971

Published: 27 July 2015 Publication History

Abstract

We present a perceptual control space for simulation of cloth that works with any physical simulator, treating it as a black box. The perceptual control space provides intuitive, art-directable control over the simulation behavior based on a learned mapping from common descriptors for cloth (e.g., flowiness, softness) to the parameters of the simulation. To learn the mapping, we perform a series of perceptual experiments in which the simulation parameters are varied and participants assess the values of the common terms of the cloth on a scale. A multi-dimensional sub-space regression is performed on the results to build a perceptual generative model over the simulator parameters. We evaluate the perceptual control space by demonstrating that the generative model does in fact create simulated clothing that is rated by participants as having the expected properties. We also show that this perceptual control space generalizes to garments and motions not in the original experiments.

Supplementary Material

ZIP File (a117-sigal.zip)

Supplemental files

Download
196.38 MB

References

[1]

Baraff, D., and Witkin, A. 1998. Large steps in cloth simulation. ACM SIGGRAPH.

Digital Library

[2]

Bhat, K. S., Twigg, C. D., Hodgins, J. K., Khosla, P. K., Popovic, Z., and Seitz, S. M. 2003. Estimating cloth simulation parameters from video. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

[3]

Bouman, K. L., Xiao, B., Battaglia, P., and Freeman, W. T. 2013. Estimating the material properties of fabric from video. In International Conference on Computer Vision.

Digital Library

[4]

Bridson, R., Marino, S., and Fedkiw, R. 2003. Simulation of clothing with folds and wrinkles. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

[5]

Brochu, E., Brochu, T., and de Freitas, N. 2010. A bayesian interactive optimization approach to procedural animation design. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

[6]

Choi, K., and Ko, H. 2002. Stable but responsive cloth. ACM Transactions on Graphics 21, 3, 604--611.

Digital Library

[7]

Cutler, L. D., Gershbein, R., Wang, X. C., Curtis, C., Maigret, E., Prasso, L., and Farson, P. 2007. An art-directed wrinkle system for CG characters clothing and skin. Graphical Models 69.

Digital Library

[8]

Fabric. 2013. Walt disney animation studios production simulator.

[9]

Farhadi, A., Endres, I., Hoiem, D., and Forsyth, D. 2009. Describing objects by their attributes. In IEEE Conference on Computer Vision and Pattern Recognition.

[10]

Ferrari, V., and Zisserman, A. 2007. Learning visual attributes. In Neural Information and Processing Systems (NIPS).

[11]

Frey, B. J., and Dueck, D. 2007. Clustering by passing messages between data points. Science 315 (February), 972--976.

[12]

Grinspun, E., Krysl, P., and Schroder, P. 2002. Charms: A simple framework for adaptive simulation. ACM Transactions on Graphics 21, 3, 281--290.

Digital Library

[13]

Guy, S. J., Kim, S., Lin, M. C., and Manocha, D. 2011. Simulating heterogeneous crowd behaviors using personality trait theory. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

[14]

Kaldor, J. M., James, D. L., and Marschner, S. 2010. Efficient yarn-based cloth with adaptive contact linearization. ACM Transactions on Graphics 29, 4.

Digital Library

[15]

Kovashka, A., Parikh, D., and Grauman, K. 2012. Whittle-search: Image search with relative attribute feedback. In IEEE Conference on Computer Vision and Pattern Recognition.

Digital Library

[16]

Kumar, N., Berg, A., Belhumeur, P., and Nayar, S. 2011. Describable visual attributes for face verification and image search. IEEE TPAMI 33, 10.

Digital Library

[17]

Laffont, P.-Y., Ren, Z., Tao, X., Qian, C., and Hays, J. 2014. Transient attributes for high-level understanding and editing of outdoor scenes. ACM Transactions on Graphics 33, 4.

Digital Library

[18]

Matusik, W., Pfister, H., Brand, M., and McMillan, L. 2002. A data-driven reflectance model. ACM Transactions on Graphics 22, 3.

Digital Library

[19]

McNamara, A., Treuille, A., Popovic, Z., and Stam, J. 2004. Fluid control using the adjoint method. ACM Transactions on Graphics 23, 3, 449--456.

Digital Library

[20]

Memisevic, R., Sigal, L., and Fleet, D. J. 2012. Shared kernel information embedding for discriminative inference. IEEE TPAMI 34, 4.

Digital Library

[21]

Miguel, E., Bradley, D., Thomaszewski, B., Bickel, B., Matusik, W., Otaduy, M., and Marschner, S. 2012. Data-driven estimation of cloth simulation models. Computer Graphics Forum 31, 2.

Digital Library

[22]

Mihalef, V., Metaxas, D., and Sussman, M. 2004. Animation and control of breaking waves. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

[23]

O'Donovan, P., Libeks, J., Agarwala, A., and A. H. 2014. Exploratory font selection using crowdsourced attributes. ACM Transactions on Graphics 33, 4.

Digital Library

[24]

Parikh, D., and Grauman, K. 2011. Relative attributes. In International Conference on Computer Vision.

Digital Library

[25]

Patterson, G., and Hays, J. 2012. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In IEEE Conference on Computer Vision and Pattern Recognition.

Digital Library

[26]

R. McDonnell, S. Dobbyn, S. C., C. O'Sullivan R. McDonnell, S. Dobbyn, S. C., McDonnell, C. O. R., Dobbyn, S., Collins, S., and O'Sullivan, C. 2006. Perceptual evaluation of LOD clothing for virtual humans. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

[27]

Stam, J. 2009. Nucleus: Towards a unified dynamics solver for computer graphics. IEEE International Conference on Computer-Aided Design and Computer Graphics, 1--11.

[28]

Tao, L., Yuan, L., and Sun, J. 2009. Skyfinder: Attribute-based sky image search. ACM Transactions on Graphics 28, 3.

Digital Library

[29]

Troje, N., 2015. www.biomotionlab.ca/demos/bmlwalker.html.

[30]

Volino, P., Magnenat-Thalmann, N., and Faure, F. 2009. A simple approach to nonlinear tensile stiffness for accurate cloth simulation. ACM Transactions on Graphics 26, 3.

Digital Library

[31]

Wang, H., O'Brien, J. F., and Ramamoorth, R. 2011. Data-driven elastic models for cloth: Modeling and measurement. ACM Transactions on Graphics 30, 4.

Digital Library

[32]

Wojtan, C., Mucha, P. J., and Turk, G. 2006. Keyframe control of complex particle systems using the adjoint method. ACM SIGGRAPH/Eurographics Symposium on Computer Animation.

Digital Library

Cited By

Li TShi RLi ZKanai TZhu Q(2024)Efficient Deformation Learning of Varied Garments with a Structure-Preserving Multilevel FrameworkProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36512867:1(1-19)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3651286
Chung JAdar E(2023)Artinter: AI-powered Boundary Objects for Commissioning Visual ArtsProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595961(1997-2018)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3595961
Bonatti RBucker AScherer SMukadam MHodgins J(2021)Batteries, camera, action! Learning a semantic control space for expressive robot cinematography2021 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48506.2021.9560745(7302-7308)Online publication date: 30-May-2021
https://doi.org/10.1109/ICRA48506.2021.9560745
Show More Cited By

Index Terms

A perceptual control space for garment simulation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation
    2. Graphics systems and interfaces
      1. Perception

Recommendations

Sackcloth or silk?: the impact of appearance vs dynamics on the perception of animated cloth
SAP '15: Proceedings of the ACM SIGGRAPH Symposium on Applied Perception

Physical simulation and rendering of cloth is widely used in 3D graphics applications to create realistic and compelling scenes. However, cloth animation can be slow to compute and difficult to specify. In this paper, we present a set of experiments in ...
Research problems in clothing simulation

Clothing simulation and animation are of great importance in computer animation. If cloth simulations could be improved to the point that they could generate realistic cloth motion in real-time, they would find uses in many aspects of daily life such as ...
Art-directed costumes at pixar: design, tailoring, and simulation in production
SA '18: SIGGRAPH Asia 2018 Courses

Costumes are an important part of character design, acting, storytelling, and visual appeal in animation. However, it is challenging to achieve art-directed natural-looking motion and detail in CG animated clothing, due to technology, workflow, and ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 34, Issue 4

August 2015

1307 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2809654

Issue’s Table of Contents

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 July 2015

Published in TOG Volume 34, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

33
Total Citations
View Citations
646
Total Downloads

Downloads (Last 12 months)57
Downloads (Last 6 weeks)15

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Li TShi RLi ZKanai TZhu Q(2024)Efficient Deformation Learning of Varied Garments with a Structure-Preserving Multilevel FrameworkProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36512867:1(1-19)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3651286
Chung JAdar E(2023)Artinter: AI-powered Boundary Objects for Commissioning Visual ArtsProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595961(1997-2018)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3595961
Bonatti RBucker AScherer SMukadam MHodgins J(2021)Batteries, camera, action! Learning a semantic control space for expressive robot cinematography2021 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48506.2021.9560745(7302-7308)Online publication date: 30-May-2021
https://doi.org/10.1109/ICRA48506.2021.9560745
Shamir AMitra NUmetani NKoyama Y(2020)Intelligent tools for creative graphicsACM SIGGRAPH 2020 Courses10.1145/3388769.3407498(1-11)Online publication date: 17-Aug-2020
https://dl.acm.org/doi/10.1145/3388769.3407498
Shimizu EFisher MParis SMcCann JFatahalian KIqbal SMacLean KChevalier FMueller S(2020)Design AdjectivesProceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379337.3415866(261-278)Online publication date: 20-Oct-2020
https://dl.acm.org/doi/10.1145/3379337.3415866
Punpongsanon PIwai DSato K(2020)FleXeen: Visually Manipulating Perceived Fabric Bending Stiffness in Spatial Augmented RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.287104426:2(1433-1439)Online publication date: 1-Feb-2020
https://doi.org/10.1109/TVCG.2018.2871044
Patel CLiao ZPons-Moll G(2020)TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR42600.2020.00739(7363-7373)Online publication date: Jun-2020
https://doi.org/10.1109/CVPR42600.2020.00739
Xiang DPrada FWu CHodgins J(2020)MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video2020 International Conference on 3D Vision (3DV)10.1109/3DV50981.2020.00042(322-332)Online publication date: Nov-2020
https://doi.org/10.1109/3DV50981.2020.00042
Phillips FFleming R(2020) The Veiled Virgin illustrates visual segmentation of shape by cause Proceedings of the National Academy of Sciences10.1073/pnas.1917565117117:21(11735-11743)Online publication date: 15-May-2020
https://doi.org/10.1073/pnas.1917565117
Wang TShao TFu KMitra N(2019)Learning an intrinsic garment space for interactive authoring of garment animationACM Transactions on Graphics10.1145/3355089.335651238:6(1-12)Online publication date: 8-Nov-2019
https://dl.acm.org/doi/10.1145/3355089.3356512
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents